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Regulation of GLS1 Expression by Scleraxis in Cardiac Fibroblasts

2020· article· en· W3016502397 on OpenAlexaffabout
Sikta Chattopadhyaya, Raghu S. Nagalingam, Pavit Narhan, Michael P. Czubryt

Bibliographic record

VenueThe FASEB Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiac Fibrosis and Remodeling
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsGlutaminolysisCardiac fibrosisGlutaminaseCell biologyFibrosisGlutamineChemistryMyofibroblastMolecular biologyBiologyBiochemistryPathologyAmino acid

Abstract

fetched live from OpenAlex

Cardiac fibrosis is characterized by the excessive deposition of extracellular matrix, including fibrillar collagens, proteoglycans, and fibronectin. This process is energy‐intensive for cardiac fibroblasts, however it remains unclear how these energy metabolic requirements are met. Liver fibrosis, and in particular collagen synthesis, has been shown to be dependent on glutaminolysis, in which glutamine is converted to glutamate by the enzyme glutaminase (GLS) with further conversion to a‐ketoglutarate to fuel oxidative metabolism via the tricarboxylic acid cycle, but a role for glutaminolysis in cardiac fibrosis remains to be demonstrated. We previously showed that scleraxis (Scx) is a transcription factor that is critically required for the conversion of cardiac fibroblasts to myofibroblasts, but its potential role in glutaminolysis in these cells is unknown. We report here that freshly‐isolated rat cardiac fibroblasts (P0 – unpassaged) passaged twice to become myofibroblasts (P2) show concomitant up‐regulation of Scx by 5‐fold and GLS1 by 4‐fold in P2 versus P0. Scx over‐expression induced a 20‐fold increase in GLS1 expression. To determine whether GLS1 expression is dependent on Scx, we examined GLS1 expression in activated mouse cardiac fibroblasts (P1) isolated from wild type or Scx knockout mice. Scx knockout attenuated GLS1 expression by almost 90%. TGFb is a potent inducer of cardiac fibrosis that both dramatically up‐regulates Scx expression, and requires Scx for many of its downstream effects. TGFb treatment of wild type mouse P1 activated fibroblasts doubled the expression of GLS1, but had no effect in Scx KO cells. In silico analysis revealed four putative Scx binding sites in the GLS1 promoter. While TGFb significantly up‐regulated expression of the myofibroblast marker periostin in cardiac fibroblasts, both scleraxis knockout and the glutaminase inhibitor CB‐839 attenuated this induction, indicating a failure to convert to myofibroblasts. These findings suggest that Scx regulates GLS1 expression to facilitate increased energy metabolism during cardiac fibroblast to myofibroblast conversion. Support or Funding Information Canadian Institutes of Health Research (PJT‐162422).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.171

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.246
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

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